Enabling Interoperability for ROS-based Robotic Devices for Smart City HADR Operations

被引:0
|
作者
Pradhan, Manas [1 ]
Devaramani, Sushma [1 ]
机构
[1] Fraunhofer Inst Commun Informat Proc & Ergon, Informat Technol Command & Control, Wachtberg, Germany
关键词
HADR; Interoperability; IoT; ROS; Drones; Robots; ICT; Smart City; CITIES;
D O I
10.1109/milcom47813.2019.9020761
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Smart Cities of the future come with the promise of betterment of human civilization. Technology usage in Smart Cities rely heavily on Internet-of-Things (IoT) concepts along with the legacy Information and Communications Technology (ICT) assets. Apart from the static assets deployed across the city such as sensors, the IoT revolution has enabled the development of cheaper yet effective robotic devices. While the robots in the market are becoming more accessible enabling adoption by private individuals as well as governmental agencies, there is the lack of interoperability between the robotic devices. Especially during Humanitarian Assistance and Disaster Recovery (HADR) operations in Smart City environments, robotic devices deployed from a single agency might not scale for HADR operations. In such cases, it is necessary to ensure multi-agency sharing of robotic capabilities. This paper proposes a ROS-based platform-independent architecture for robotic devices that can be adopted by civilian and military agencies to share capabilities during HADR operations.
引用
收藏
页数:6
相关论文
共 47 条
  • [1] ros4mat: A Matlab Programming Interface for Remote Operations of ROS-based Robotic Devices in an Educational Context
    Hold-Geoffroy, Yannick
    Gardner, Marc-Andre
    Gagne, Christian
    Latulippe, Maxime
    Giguere, Philippe
    [J]. 2013 INTERNATIONAL CONFERENCE ON COMPUTER AND ROBOT VISION (CRV), 2013, : 242 - 248
  • [2] HLA Interoperability for ROS-Based Autonomous Systems
    Carrera, Arnau
    Tremori, Alberto
    Caamano, Pilar
    Been, Robert
    Pereira, Diego Crespo
    Bruzzone, Agostino G.
    [J]. MODELLING AND SIMULATION FOR AUTONOMOUS SYSTEMS, MESAS 2016, 2016, 9991 : 128 - 138
  • [3] ROS-based Integration of Smart Space and a Mobile Robot as the Internet of Robotic Things
    Uchechukwu, David
    Siddique, Arslan
    Maksatbek, Aizhan
    Afanasyev, Ilya
    [J]. PROCEEDINGS OF THE 2019 25TH CONFERENCE OF OPEN INNOVATIONS ASSOCIATION (FRUCT), 2019, : 339 - 345
  • [4] Leveraging Crowdsourcing and Crowdsensing Data for HADR Operations in a Smart City Environment
    Pradhan, Manas
    Johnsen, Frank T.
    Tortonesi, Mauro
    Delaitre, Sabine
    [J]. IEEE Internet of Things Magazine, 2019, 2 (02): : 26 - 31
  • [5] ROS-based Remote Controlled Robotic Arm Workcell
    Rozman, Jaroslav
    Luza, Radim
    Zboril, Frantisek V.
    [J]. 2014 14TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA 2014), 2014,
  • [6] Interoperability for Disaster Relief Operations in Smart City Environments
    Pradhan, Manas
    [J]. 2019 IEEE 5TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT), 2019, : 711 - 714
  • [7] A minimum set of common principles for enabling Smart City Interoperability
    Frascella, Angelo
    Brutti, Arianna
    Gessa, Nicola
    De Sabbata, Piero
    Novelli, Cristiano
    Burns, Martin
    Bhatt, Vatsal
    Ianniello, Raffaele
    He, Linghao
    [J]. TECHNE-JOURNAL OF TECHNOLOGY FOR ARCHITECTURE AND ENVIRONMENT, 2018, : 56 - 61
  • [8] MQTT Service Broker for Enabling the Interoperability of Smart City Systems
    Zabasta, Anatolijs
    Kunicina, Nadezda
    Kondratjevs, Kaspars
    Patlins, Antons
    Ribickis, Leonids
    Delsing, Jerker
    [J]. 2018 ENERGY AND SUSTAINABILITY FOR SMALL DEVELOPING ECONOMIES (ES2DE), 2018, : 33 - 38
  • [9] ROS-based Toolbox for Motor Parameter Identification of Robotic Manipulators
    Ulici, I
    Codrean, A.
    Natsakis, T.
    [J]. IFAC PAPERSONLINE, 2022, 55 (15): : 136 - 141
  • [10] Using AADL to model and develop ROS-based robotic application
    Bardaro, Gianluca
    Matteucci, Matteo
    [J]. 2017 FIRST IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING (IRC), 2017, : 204 - 207